# qat_analyse_lim_rule_sigma_1d: Perform a sigma lim-rule-check In qat: Quality Assurance Toolkit

## Description

This check tests data on whether it exceeds a threshold formed by multiple standard derviations away from the mean.

## Usage

 1 qat_analyse_lim_rule_sigma_1d(measurement_vector, sigma_factor) 

## Arguments

 measurement_vector The measurement vector, which should be tested sigma_factor Multiplier of standard derivation, which determin the maximum allowed deviation from the mean

## Details

First the mean and the standard derivation of the measurement vector will be calculated. After this the limits will be determined by

lim_{\pm} = μ \pm f σ,

where f is the given sigma factor.

## Value

It returns a list with the following entries:

 flagvector A vector of length of measurement vector. For every element of the measurement vector the flagvector contains a -1, if its exceeding its dedicated minimum vector element, a 1, if its exceeding its dedicated maximum vector element, or a 0, when no exceeding has happend. sigma_factor Give back the given sigma\_factor meanofvector Give back the calculated mean of the measurement vector sdofvector Give back the calculated standard deviation of the measurement vector

Andre Duesterhus

## References

Meek, D.W., Hatfield, J.L. (1994) Data quality checking for single station meteorological databases, \_Agricultural and Forest Meteorology\_, *69* (1-2), 85-109.

qat_plot_lim_rule_sigma_1d, qat_call_lim_rule, qat_analyse_lim_rule_static_1d, qat_analyse_lim_rule_dynamic_1d

## Examples

 1 2 vec <- rnorm(1000) result <- qat_analyse_lim_rule_sigma_1d(vec, 2) 

qat documentation built on May 30, 2017, 8:27 a.m.